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Does conservation account for splicing patterns?

Overview of attention for article published in BMC Genomics, October 2016
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Title
Does conservation account for splicing patterns?
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3121-4
Pubmed ID
Authors

Michael Wainberg, Babak Alipanahi, Brendan Frey

Abstract

Alternative mRNA splicing is critical to proteomic diversity and tissue and species differentiation. Exclusion of cassette exons, also called exon skipping, is the most common type of alternative splicing in mammals. We present a computational model that predicts absolute (though not tissue-differential) percent-spliced-in of cassette exons more accurately than previous models, despite not using any 'hand-crafted' biological features such as motif counts. We achieve nearly identical performance using only the conservation score (mammalian phastCons) of each splice junction normalized by average conservation over 100 bp of the corresponding flanking intron, demonstrating that conservation is an unexpectedly powerful indicator of alternative splicing patterns. Using this method, we provide evidence that intronic splicing regulation occurs predominantly within 100 bp of the alternative splice sites and that conserved elements in this region are, as expected, functioning as splicing regulators. We show that among conserved cassette exons, increased conservation of flanking introns is associated with reduced inclusion. We also propose a new definition of intronic splicing regulatory elements (ISREs) that is independent of conservation, and show that most ISREs do not match known binding sites or splicing factors despite being predictive of percent-spliced-in. These findings suggest that one mechanism for the evolutionary transition from constitutive to alternative splicing is the emergence of cis-acting splicing inhibitors. The association of our ISREs with differences in splicing suggests the existence of novel RNA-binding proteins and/or novel splicing roles for known RNA-binding proteins.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 37%
Student > Master 6 17%
Student > Ph. D. Student 6 17%
Student > Doctoral Student 3 9%
Student > Bachelor 1 3%
Other 1 3%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 40%
Biochemistry, Genetics and Molecular Biology 12 34%
Neuroscience 2 6%
Computer Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 October 2016.
All research outputs
#18,473,108
of 22,890,496 outputs
Outputs from BMC Genomics
#8,198
of 10,670 outputs
Outputs of similar age
#242,461
of 320,333 outputs
Outputs of similar age from BMC Genomics
#173
of 246 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,670 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.